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bike-rental-system

The aim of this project is to predict the count of bike rentals based on the seasonal and environmental settings. By predicting the count, it would be possible to help accommodate in managing the number of bikes required on a daily basis, and being prepared for high demand of bikes during peak periods.

cab-fare-prediction

The objective of this Project is to predict the fare of the Cab rental in the city. This Fare prediction takes distance, date/time and other factors in to account from historical data which was gathered from the pilot project for the same. We would be building a model that can successfully predict the fare of rentals on relevant factors

cab-hourly-booking-prediction

data-engineering-interview-questions

More than 2000+ Data engineer interview questions.

data-science-course

heroku-demo

loan-prediction

object_detector_app

Real-Time Object Recognition App with Tensorflow and OpenCV

prediction-on-churn

Aim of this Project is to findout that how many customers churns are in a telecom Industry using decision tree and random forest.

python

r

recommendation-system

recommendation_system

santander-customer-transaction-prediction

In this challenge, we need to identify which customers will make a specific transaction in the future, irrespective of the amount of money transacted.

streamlit-agent

Reference implementations of several LangChain agents as Streamlit apps

web-scraping

Flipkart Data scrapping tool

web-scrapper-

web-scrapper-bot